We evaluated the basic efficacy and clinical usefulness of "Imucheck F-HCV Ag-core(KOKUSAI)" (Ag-Core). This kit has been developed using monoclonal antibodies against hepatitis C virus (HCV) core protein. This character is different from RT-PCR assay or branched DNA assay, which have been developed for the detection of HCV-RNA. The reproducibility of Ag-Core assay was supported by vigorous mixture of reagents during the manual pretreatment of samples. The correlation between Ag-Core assay and Amplicor HCV (RT-PCR) assay was relatively good (correlation coefficient: r was 0.735 and the qualitative accordance rate was 96.6%). The change of viral load during the IFN-alpha treatment was also in good accordance between the values determined by Ag-Core and Amplicor-HCV assay. Since it is simple, cheaper and faster than the Amplicor-HCV assay. Quantitation of HCV core protein by the Ag-Core assay is useful for monitoring the therapeutic efficacy of IFN-alpha treatment.
An automatic content extraction from multimedia files based both on manual and automatic indexing is extensively explored. However, in the domain of musical data, an automatic content description of musical sounds has not been broadly investigated yet and still needs an intensive research. In this paper, spectro-temporal sound representation is used for the purpose of automatic musical instrument recognition. Assuming that musical instruments can be learned in terms of a group of features and also based on them either automatic or manual indexing of an audio file is done, Frame Segment Trees (FS-trees) can be used to identify segments of an audio marked by the same indexes. Telescopic vector trees (TV-trees) are known from their applications in text processing and recently in data clustering algorithms. In this paper, we use them jointly with FS-trees to construct a new Query Answering System (QAS) for audio data. Audio segments are returned by QAS as answers to user queries. Heuristic strategy to build adaptable TV-trees is proposed.
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